An Initial Exploration on Intelligent Contents to Social Network Research Via Fuzzy Based Data Mining

Bao-Chang Ju
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引用次数: 2

Abstract

This paper focuses on recording how much a user is interested in the contents displayed on the web page with Fuzzy theory detection and finding out their relationship, as well as the rule of categorizing, via Data Mining technology, websites on-line into related communities. Then, proper adaptations of the web contents will be made in accordance with the most suitable positions of advertisements not only to meet the needs of the most majority of users but make the best benefit of advertisements.
基于模糊数据挖掘的智能内容社交网络研究初探
本文的重点是用模糊理论检测来记录用户对网页上显示的内容的兴趣程度,找出它们之间的关系,以及分类的规则,通过数据挖掘技术,将网站在线划分为相关社区。然后,根据最合适的广告位置对网页内容进行适当的改编,既能满足最广大用户的需求,又能使广告获得最大的效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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